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No, we seen this with the iPhone 12's. They market that it that had the same battery life as the previous year, even though they all have smaller mAH batteries. It did not! It was one of the worst battery life on a iPhone, that's why they fixed it on the 13's and so on.
It should be noted that iPhone 12 Pro Max was specced at 12 hours streamed video. iPhone Air is 22.

I expect Macrumors users to explode in anger when they learn that iPhone Air is 10% lower than 16 Pro in real life. Which will still be an amazing feat.

I actually do expect the same real life battery life. The benefits of the new radio chips is not reflected in the specification. And it’s not like the battery capacity is halved - it’s 12% less. Remember to compare with a 16 Pro running iOS 26, not iOS 18.
 
I don't really understand how in the world it is possible that the 17 has a better battery life than the 16 Pro... how? And 17 Pro even is also not THAT much better. If anyone can do an ELI5 for me, I would really appreciate it.
ProMotion.
 
Not just for movies. The frame rate will drop during all sorts of normal use. The battery improvements of ProMotion is real.
Yep it's changing all the time, I just mentioned movies in reference to the hours of streaming video playback metric Apple uses.
 
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I don't really understand how in the world it is possible that the 17 has a better battery life than the 16 Pro... how? And 17 Pro even is also not THAT much better. If anyone can do an ELI5 for me, I would really appreciate it.
Why wouldn't it be better? The 17 has a bigger battery. Then there's the C1 modem and A19 chip for more energy efficiency.
 
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Why wouldn't it be better? The 17 has a bigger battery. Then there's the C1 modem and A19 chip for more energy efficiency.
Because from purely looking at the capacity it don't makes that much sense to me. Also why the 17 Pro has only 1 hour longer battery life, according to Apples numbers.
 
I'm on a standard 13 at the moment and potentially the standard 17 is looking the most appealing. 2 cameras seems fine to me, the pro camera setup is probably good for professionals but who needs more than that? The camera bump also looks weird on the pro, much smarter on the standard.

It's got very good battery without being super heavy like the pro. It's more durable than the air. It comes in black. I don't care about the thinness of the Air.

What have I missed? Why would I not get the 17 over the others?
 
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I think this will still be the biggest seller, again. As it is every year lol.
 
I’m still using my 13 Pro and would quite like to know how the battery in that compares to the 17 series. The battery size in the 13 Pro was about the same as the 17 Air I read elsewhere, but there have been significant efficiency gains as well, so it could be a decent amount of extra battery that has accumulated.
 
Battery life across the lineup looks good, at least on paper. Good to see an increase despite having ProMotion!
 
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Why do they give us these numbers in video playback speak? It’s all under their controlled conditions with everything but WiFi turned off and brightness at a minimum. Show me what an average day looks like with cellular on, push emails, tons of texts and messages, and teams calls. These numbers they give mean nothing.
Because it's a reproducible number that can be directly tested on different devices. Everyone uses their device in different ways so there's no single battery life number that fits all. I have occasions where my iPhone 11 lasts me 35 hours on a single charge. Other times I need to charge it after only 7 hours. Both are valid use cases, so which one is "right"?
 
I’m struggling to understand how/why the 17 Pro battery capacity is so much bigger in mAh than the regular 17, yet the battery time in hours of streaming is so similar. What’s going on? Are we expecting real world battery life performance to be similar?
 
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It’s standard way to quantify something. Hard to define average usage, what’s average could be light for some one or heavy. Too many variables to quantify. Not every one has teams calls or text messages or what ever. Not every one uses Microsoft teams, it’s more on corporate side.

That's fair, but I don't think it would be impossible to standardise an average real world use case and uniformly test iPhones with that. As long as you're transparent about what the method is it's probably more informative than video playback figures.

I of course agree that not everyone will use the exact same apps and that's fine, just use a cross-section of the most popular apps or something like that. Every method is limited in some form or another, but I don't know anyone who watches video for 18+ hours in one sitting so I'm pretty convinced what they currently use is not very instructive.
 
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Remember to compare with a 16 Pro running iOS 26, not iOS 18.
No, always compare original iOS versions. Otherwise the comparison is garbage. Major iOS updates reduce battery life. If you want to make the newer iPhone look good, just say so, but if you want a reliable test, compare original iOS versions, ESPECIALLY following an iOS redesign.
 
No, always compare original iOS versions. Otherwise the comparison is garbage. Major iOS updates reduce battery life. If you want to make the newer iPhone look good, just say so, but if you want a reliable test, compare original iOS versions, ESPECIALLY following an iOS redesign.
I guess that depends what you want to prove . Do you want to compare the battery life during the first year after launch, or do you want to compare the efficiency of the hardware? In my mind, the interesting although somewhat academic interest is whether the Air’s supposed better efficiency outweighs the smaller battery. If I replace my 16 Pro with a 17 Air, will I getvtye same battery life as if I just keep my 16 Pro?

I do see the value in your comparison too, it’s just not where I was coming from.
 
Why do they give us these numbers in video playback speak? It’s all under their controlled conditions with everything but WiFi turned off and brightness at a minimum. Show me what an average day looks like with cellular on, push emails, tons of texts and messages, and teams calls. These numbers they give mean nothing.
Agreed.

I have the 16e, which in theory has great battery life (26 hours video playback i.e. one less hour than the air).

In reality, where I live, connectivity is bad. Presumably the 4/5g radio are working at full strength trying to find and maintain a signal. And the battery life falls off a cliff the moment I use my phone outside without wifi.

However, when I'm outside in the big city - with fantastic connectivity - presumably the 4/5g radio is nicely chugging along. And my 16e is a battery champ.
 
Because it's a reproducible number that can be directly tested on different devices. Everyone uses their device in different ways so there's no single battery life number that fits all. I have occasions where my iPhone 11 lasts me 35 hours on a single charge. Other times I need to charge it after only 7 hours. Both are valid use cases, so which one is "right"?

If your iPhone 11 is lasting even 7 hours I'd classify you as someone who doesn't use their phone much.
 
100%. This is the biggest reason for it having the greatest increase in battery. Even when the regular and Pro models had nearly identical batteries, the Pro always had notably better battery life, regardless of whether you used Apple’s numbers, or from reviews.

And the ability to operate at 10Hz or less is the main benefit of ProMotion. Everyone swears that their ProMotion screen looks better all the time, but it’s not true. A ProMotion screen may not even ramp up above 60Hz if you’re scrolling at normal speed. 🤷🏻‍♂️

And you certain don’t need 60Hz for movies.
I also think that the pro doesn't sweat as much rendering complex - i.e. badly optimised - web pages, whereas the regular chips work that bit harder. Ditto with games.
 
Why do they give us these numbers in video playback speak? It’s all under their controlled conditions with everything but WiFi turned off and brightness at a minimum. Show me what an average day looks like with cellular on, push emails, tons of texts and messages, and teams calls. These numbers they give mean nothing.

It’s standard way to quantify something. Hard to define average usage, what’s average could be light for some one or heavy. Too many variables to quantify. Not every one has teams calls or text messages or what ever. Not every one uses Microsoft teams, it’s more on corporate side.

It's an interesting discussion. With enough will and effort it should be possible to come up with some (ideally industry-wide) standard set of activities to run a phone through and measure how long it lasts until it powers itself off. I can't remember which site it is but there is someone/somewhere that does do that when reviewing phones to test their battery life - a well-defined mixture of video, browsing, email, messaging, playing games and probably other stuff I forgot and then looping through that repeatedly and measuring how long it is until a phone shuts itself off.

It would take effort because you'd have to precisely define that sequence in terms of web sites browsed (and you'd probably need to set up a dedicated in-house web server for the test so the results weren't skewed by how busy a public server was at any given time) and similar with the email and messaging, some automated test robot to play some defined game (or maybe a test game written specifically for the task if it was an industry wide standard), etc.

I'd say it's unlikely to happen but on a far simpler scale there is precedent, for instance in the sound insulation industry there is a standard test signal defined that is a well defined frequency/amplitude mix intended to simulate typical traffic noise. Again though that's an approximation because the mix of small cars, vans and heavy trucks going past your window might not be the exact traffic mix simulated by the industry-standard test signal.

In theory Apple giving the video numbers for every model does at least allows someone to compare between models and generations so, although admittedly not giving you much idea on it's own about how that's going to transfer to your real-world battery life, it does at least give some hints that if one phone is coming in at 20 hours and another at 30 then that second one has a pretty good chance of delivering the better real-world battery life.

In general I look at the percentages and if I see Apple claiming a 10% (one year it was over 30%!) increase in video playback time my initial expectation is that I will see that sort of percentage in my real life use and on getting a new phone I keep an eye on how it does perform to see if that expectation is met and if it's not I scale it back for the next time. (It's always been a scale-back, I don't think I've ever got a real-world increase that exceeded Apple's increase in the video playback metric.)

I suppose it should also be said that perhaps even a simple "how long will it play video?" test is only useful, even as a model-to-model comparison, if we trust the tester to keep the conditions the same. It must be exactly the same video used every time across all the tests, presumably played in a loop long enough to expire any cached video data. If the compression algorithm was changed that would invalidate any comparison and even if the video content was changed that could change the results if more or less fast wide-area movement in one video vs its predecessor resulted in changes in the sizes of the intermediate delta frames that are part of many (most?) compression algorithms.
 
It's an interesting discussion. With enough will and effort it should be possible to come up with some (ideally industry-wide) standard set of activities to run a phone through and measure how long it lasts until it powers itself off. I can't remember which site it is but there is someone/somewhere that does do that when reviewing phones to test their battery life - a well-defined mixture of video, browsing, email, messaging, playing games and probably other stuff I forgot and then looping through that repeatedly and measuring how long it is until a phone shuts itself off.

It would take effort because you'd have to precisely define that sequence in terms of web sites browsed (and you'd probably need to set up a dedicated in-house web server for the test so the results weren't skewed by how busy a public server was at any given time) and similar with the email and messaging, some automated test robot to play some defined game (or maybe a test game written specifically for the task if it was an industry wide standard), etc.

I'd say it's unlikely to happen but on a far simpler scale there is precedent, for instance in the sound insulation industry there is a standard test signal defined that is a well defined frequency/amplitude mix intended to simulate typical traffic noise. Again though that's an approximation because the mix of small cars, vans and heavy trucks going past your window might not be the exact traffic mix simulated by the industry-standard test signal.

In theory Apple giving the video numbers for every model does at least allows someone to compare between models and generations so, although admittedly not giving you much idea on it's own about how that's going to transfer to your real-world battery life, it does at least give some hints that if one phone is coming in at 20 hours and another at 30 then that second one has a pretty good chance of delivering the better real-world battery life.

In general I look at the percentages and if I see Apple claiming a 10% (one year it was over 30%!) increase in video playback time my initial expectation is that I will see that sort of percentage in my real life use and on getting a new phone I keep an eye on how it does perform to see if that expectation is met and if it's not I scale it back for the next time. (It's always been a scale-back, I don't think I've ever got a real-world increase that exceeded Apple's increase in the video playback metric.)

I suppose it should also be said that perhaps even a simple "how long will it play video?" test is only useful, even as a model-to-model comparison, if we trust the tester to keep the conditions the same. It must be exactly the same video used every time across all the tests, presumably played in a loop long enough to expire any cached video data. If the compression algorithm was changed that would invalidate any comparison and even if the video content was changed that could change the results if more or less fast wide-area movement in one video vs its predecessor resulted in changes in the sizes of the intermediate delta frames that are part of many (most?) compression algorithms.
This is excellent.
 
A very good upgrade indeed, along with ProMotion and Macro photography, so I am planning upgrading from my current iPhone 15. ✌️
 
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